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Course Outline
Introduction to Artificial Intelligence
- Defining AI: Key terms and technologies.
- Distinguishing between AI, machine learning, and automation.
- Current trends in AI adoption within the public sector.
AI Use Cases in Government
- Enhancing service delivery: chatbots, document automation, and predictive analytics.
- Supporting policy and planning: modeling, forecasting, and simulations.
- Examples from public safety, healthcare, and citizen engagement.
Risks, Ethics, and Bias in AI
- Understanding algorithmic bias and ensuring fairness.
- Ethical decision-making within AI systems.
- The importance of transparency, accountability, and explainability.
AI Governance and Regulatory Landscape
- Overview of the EU AI Act, GDPR, and global regulatory developments.
- National AI strategies and governance frameworks.
- Considerations for public trust and citizen impact.
Procurement and Implementation Strategies
- Essential information for leaders before investing in AI.
- Evaluating vendors, pilots, and partnerships.
- Facilitating inter-agency collaboration and ensuring data infrastructure readiness.
Strategic Planning for AI Adoption
- Building internal AI literacy and forming cross-functional teams.
- Aligning AI initiatives with mission outcomes.
- Developing an AI adoption roadmap for departments or agencies.
Summary and Next Steps
Requirements
- Knowledge of public sector operations and policy frameworks.
- Interest in utilizing emerging technologies for the public good.
- No prior technical background in AI is required.
Target Audience
- Senior administrators.
- Ministers and government executives.
- Policy advisors and public sector strategists.
7 Hours
Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.